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https://github.com/iperov/DeepFaceLab.git
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128 lines
4.2 KiB
Python
128 lines
4.2 KiB
Python
import cv2
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from pathlib import Path
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from utils import Path_utils
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from utils.DFLPNG import DFLPNG
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from utils.DFLJPG import DFLJPG
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from utils.cv2_utils import *
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from facelib import LandmarksProcessor
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from interact import interact as io
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def convert_png_to_jpg_file (filepath):
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filepath = Path(filepath)
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if filepath.suffix != '.png':
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return
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dflpng = DFLPNG.load (str(filepath) )
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if dflpng is None:
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io.log_err ("%s is not a dfl image file" % (filepath.name) )
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return
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dfl_dict = dflpng.getDFLDictData()
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img = cv2_imread (str(filepath))
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new_filepath = str(filepath.parent / (filepath.stem + '.jpg'))
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cv2_imwrite ( new_filepath, img, [int(cv2.IMWRITE_JPEG_QUALITY), 85])
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DFLJPG.embed_data( new_filepath,
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face_type=dfl_dict.get('face_type', None),
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landmarks=dfl_dict.get('landmarks', None),
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source_filename=dfl_dict.get('source_filename', None),
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source_rect=dfl_dict.get('source_rect', None),
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source_landmarks=dfl_dict.get('source_landmarks', None) )
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filepath.unlink()
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def convert_png_to_jpg_folder (input_path):
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input_path = Path(input_path)
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io.log_info ("Converting PNG to JPG...\r\n")
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for filepath in io.progress_bar_generator( Path_utils.get_image_paths(input_path), "Converting"):
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filepath = Path(filepath)
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convert_png_to_jpg_file(filepath)
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def add_landmarks_debug_images(input_path):
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io.log_info ("Adding landmarks debug images...")
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for filepath in io.progress_bar_generator( Path_utils.get_image_paths(input_path), "Processing"):
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filepath = Path(filepath)
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img = cv2_imread(str(filepath))
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if filepath.suffix == '.png':
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dflimg = DFLPNG.load( str(filepath) )
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elif filepath.suffix == '.jpg':
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dflimg = DFLJPG.load ( str(filepath) )
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else:
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dflimg = None
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if dflimg is None:
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io.log_err ("%s is not a dfl image file" % (filepath.name) )
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continue
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if img is not None:
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face_landmarks = dflimg.get_landmarks()
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LandmarksProcessor.draw_landmarks(img, face_landmarks, transparent_mask=True)
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output_file = '{}{}'.format( str(Path(str(input_path)) / filepath.stem), '_debug.jpg')
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cv2_imwrite(output_file, img, [int(cv2.IMWRITE_JPEG_QUALITY), 50] )
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def recover_original_aligned_filename(input_path):
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io.log_info ("Recovering original aligned filename...")
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files = []
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for filepath in io.progress_bar_generator( Path_utils.get_image_paths(input_path), "Processing"):
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filepath = Path(filepath)
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if filepath.suffix == '.png':
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dflimg = DFLPNG.load( str(filepath) )
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elif filepath.suffix == '.jpg':
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dflimg = DFLJPG.load ( str(filepath) )
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else:
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dflimg = None
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if dflimg is None:
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io.log_err ("%s is not a dfl image file" % (filepath.name) )
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continue
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files += [ [filepath, None, dflimg.get_source_filename(), False] ]
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files_len = len(files)
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for i in io.progress_bar_generator( range(files_len), "Sorting" ):
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fp, _, sf, converted = files[i]
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if converted:
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continue
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sf_stem = Path(sf).stem
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files[i][1] = fp.parent / ( sf_stem + '_0' + fp.suffix )
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files[i][3] = True
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c = 1
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for j in range(i+1, files_len):
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fp_j, _, sf_j, converted_j = files[j]
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if converted_j:
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continue
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if sf_j == sf:
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files[j][1] = fp_j.parent / ( sf_stem + ('_%d' % (c)) + fp_j.suffix )
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files[j][3] = True
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c += 1
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for file in io.progress_bar_generator( files, "Renaming", leave=False ):
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fs, _, _, _ = file
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dst = fs.parent / ( fs.stem + '_tmp' + fs.suffix )
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try:
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fs.rename (dst)
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except:
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io.log_err ('fail to rename %s' % (fs.name) )
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for file in io.progress_bar_generator( files, "Renaming" ):
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fs, fd, _, _ = file
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fs = fs.parent / ( fs.stem + '_tmp' + fs.suffix )
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try:
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fs.rename (fd)
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except:
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io.log_err ('fail to rename %s' % (fs.name) )
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